To verify the generalization ability of existing methods, we conduct cross-dataset experiments. Specifically, we train the models on the training set of CTW and then test on the testing set of TOT (CTW \(\rightarrow \)  TOT), and vice versa (TOT \(\rightarrow \)  CTW). As shown in Table REF , we find that DRRGN [1]} and PAN [2]} can achieve the best \(\textit {F-measure}\)  on CTW \(\rightarrow \)  TOT, under IOU@0.5 and DetEval-v2 respectively. Meanwhile, the older detector TextSnake [3]} shows better generalization abilities on TOT \(\rightarrow \)  CTW than other methods. These experiments further reveal that some older methods may still surpass the newly proposed methods in some aspects under fair comparisons.
